Safe and efficient learning
Production systems must include tests checking that operating and training conditions match. Models need to be hardened against spurious inputs, high or wrong uncertainty estimates and deliberate adversarial attacks. Due to acquisistion or labelling costs, oftentimes this must be achieved with little data.
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